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mederrRank
View on CRAN: Click
here
Download and install mederrRank package within the R console
Install from CRAN:
install.packages("mederrRank")
Install from Github:
library("remotes")
install_github("cran/mederrRank")
Install by package version:
library("remotes")
install_version("mederrRank", "0.1.0")
Attach the package and use:
library("mederrRank")
Maintained by
Sergio Venturini
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-29
Latest Update: 2023-09-05
Description:
Two distinct but related statistical approaches to the problem of identifying the combinations of medication error characteristics that are more likely to result in harm are implemented in this package: 1) a Bayesian hierarchical model with optimal Bayesian ranking on the log odds of harm, and 2) an empirical Bayes model that estimates the ratio of the observed count of harm to the count that would be expected if error characteristics and harm were independent. In addition, for the Bayesian hierarchical model, the package provides functions to assess the sensitivity of results to different specifications of the random effects distributions.
How to cite:
Sergio Venturini (2012). mederrRank: Bayesian Methods for Identifying the Most Harmful Medication Errors. R package version 0.1.0, https://cran.r-project.org/web/packages/mederrRank. Accessed 27 Jan. 2025.
Previous versions and publish date:
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Complete documentation for mederrRank
Functions, R codes and Examples using
the mederrRank R package
Some associated functions: EBGM . MEDMARX . bayes.rank . bhm.constr.resamp . bhm.mcmc . bhm.resample . dmixnegbinom . dnegbinom . dst . llDiffD . llDiffT . logp . logunpost . mederrData-class . mederrFit-class . mederrRank-package . mederrResample-class . mixnegbinom.em . mixnegbinom.loglik . mixnegbinom.score . negbinom.em . negbinom.loglik . negbinom.score . p.value . plot-methods . post.rep . rmixnegbinom . simdata . summary-methods .
Some associated R codes: AllClasses.R . mederrRank.R . Full mederrRank package functions and examples
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